

Doctly.ai is a next-generation AI document engine built to transform unstructured PDFs — including scientific papers, technical manuals, financial reports, and multi-column layouts — into clean, semantically rich Markdown. Engineered for developers and AI teams, it goes beyond basic text extraction to preserve hierarchy, context, and visual fidelity.
Integrate Doctly.ai in under a minute: install the official Python SDK, authenticate with your API key, and convert any PDF with a single parse() call. No preprocessing, no layout assumptions — just reliable, reproducible output.
Detects and reconstructs text, tables (with headers and merged cells), figures, captions, footnotes, and embedded charts — even in scanned or low-resolution PDFs.
Generates human-readable, AI-ready Markdown with proper heading levels (##, ###), fenced code blocks for algorithms, list nesting, and inline math support — ready for RAG, fine-tuning, or LLM ingestion.
Dynamically selects optimal parsing models per page — choosing between OCR-enhanced, layout-aware, or text-dense pipelines — ensuring speed *and* accuracy across heterogeneous documents.
Identifies document-specific structures: section titles, equation numbering, citation markers, table-of-contents links, and cross-references — turning static PDFs into navigable, queryable knowledge graphs.
From ingesting research literature into vector databases to converting regulatory filings into training datasets — Doctly.ai bridges the gap between legacy PDF archives and modern LLM infrastructure.
Reach our engineering-first support team at [email protected]. For urgent issues or enterprise onboarding, visit the Contact page.
Doctly.ai is developed by Doctly Labs — a team of NLP researchers and full-stack engineers focused on making document intelligence frictionless, scalable, and open.
Access your dashboard, usage analytics, and API keys: https://doctly.ai/login
Start parsing instantly — no credit card required: https://doctly.ai/signup
View plans, rate limits, and enterprise options: https://doctly.ai/#pricing
Explore the Python SDK, CLI tools, and contribution guidelines: https://github.com/doctly/doctly
Doctly.ai is a production-grade AI document parser that converts complex, real-world PDFs into faithful, hierarchical Markdown — optimized for downstream AI tasks like retrieval, summarization, and instruction tuning.
Install pip install doctly, initialize DoctlyClient(api_key="..."), then run client.parse("report.pdf"). Results include Markdown, metadata, and confidence scores — all in one response.
By combining multimodal foundation models (text + layout + visual features) with per-page adaptive routing and post-processing validation — achieving >98% structural fidelity on benchmark academic and technical PDFs.
Yes — new users receive 100 free parsing credits (enough for ~50–100 medium-complexity pages), plus unlimited sandbox testing via our web demo.
Official support: Python (SDK + CLI). Universal access: REST API (curl, JavaScript, Go, Rust, etc.). Community-maintained bindings for Node.js and TypeScript are in active development.